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Updated: Jun 4, 2026
03:08
Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization
Published on: October 3, 2025
Insights into global mechanisms and disease by gene expression profiling
Fátima Sánchez-Cabo1, Johannes Rainer, Ana Dopazo
1Genomics Unit, Centro Nacional de Investigaciones Cardiovasculares, Madrid, Spain.
Methods in Molecular Biology (Clifton, N.J.)
|March 4, 2011
Summary
Transcriptomics provides a systems-level view of cellular mechanisms, moving beyond single events. This review covers gene expression profiling technologies and essential bioinformatics for analyzing transcriptomics data.
Area of Science:
- Genomics
- Bioinformatics
- Systems Biology
Background:
- Transcriptomics has been crucial for developing experimental and bioinformatics methods for Omics data generation and analysis.
- Gene expression profiling technologies have shifted research from single molecular events to a systems-level understanding of cellular mechanisms, biological processes, and pathological mutations.
Purpose of the Study:
- To introduce large-scale gene expression profiling technologies, including microarrays and RNA-sequencing (RNA-seq).
- To present general concepts for the proper analysis of transcriptomics data.
- To describe key bioinformatics resources for transcriptomics data analysis.
Main Methods:
- Overview of major gene expression profiling platforms (microarrays, RNA-seq).
- Introduction to fundamental concepts in transcriptomics data analysis.
- Description of available bioinformatics resources.
Main Results:
- Gene expression profiling enables a shift towards a systems biology approach.
- Understanding transcriptomics data analysis is key to drawing objective conclusions.
- Various bioinformatics tools and resources are available for transcriptomics research.
Conclusions:
- Transcriptomics is a powerful tool for understanding complex biological systems.
- Effective data analysis and bioinformatics resources are essential for successful transcriptomics studies.
- This review provides a foundational understanding of transcriptomics technologies and analysis.
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